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Research Machine Learning Federated Learning Jobs in Menominee, MI

wistar

Visiting Scientist - Weiner Lab

Institute, WI · On-site

The goal of this postdoctoral research appointment is to focus on the development of new approaches ... Experience in relevant areas includes familiarity with machine learning tools for data analysis ...

wistar

Post-Doctoral Fellow - GZhou Lab

Institute, WI · On-site

$47K - $63K/yr

Experience in one or more of the following areas is desirable: machine learning/deep learning ... Wistar provides resources for cutting-edge collaborative research and provides for outstanding ...

wistar

Research Assistant - Veglia Lab

Institute, WI · On-site

Successful candidates will possess excellent communication skills, a strong drive for learning, and ... research and provide outstanding intellectual environments and state-of-the-art facilities. We ...

U.S. Navy

Linguist

Oconto Falls, WI

... and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an intellectually demanding career ...

New

U.S. Navy

Linguist

Peshtigo, WI

... and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an intellectually demanding career ...

New

Hshs

General/Vascular Sonographer

Oconto Falls, WI · On-site

$35.92 - $53.88/hr

Notice Regarding Potential Use of Artificial Intelligence in the Hiring Process Hospital Sisters may use automated tools, including artificial intelligence or machine-learning technologies, to assist ...

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All JobsResearch Machine Learning Federated Learning JobsResearch Machine Learning Federated Learning Jobs in Menominee, MI

Research Machine Learning Federated Learning information

See Menominee, MI salary details

$23.3K

$38.9K

$80.5K

How much do research machine learning federated learning jobs pay per year?

As of Aug 26, 2026, the average yearly pay for research machine learning federated learning in Menominee, MI is $38,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,700.00 and $42,100.00 per year, depending on experience, location, and employer.

What is a researcher in machine learning federated learning?

A Researcher in Machine Learning Federated Learning is a professional who investigates and develops methods to train machine learning models across multiple decentralized devices or servers, while keeping data localized and private. Their work focuses on improving algorithms, ensuring data privacy, and addressing challenges related to distributed learning, communication efficiency, and model accuracy. They often collaborate with other researchers, publish findings, and contribute to advancing technologies that make it possible to use sensitive data for AI without compromising privacy.

What are the key skills and qualifications needed to thrive as a researcher in machine learning federated learning?

To thrive as a Researcher in Machine Learning Federated Learning, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant advanced degree (e.g., PhD or MSc). Familiarity with Python, TensorFlow, PyTorch, and distributed computing frameworks, as well as knowledge of privacy-preserving techniques and relevant research publications, is essential. Excellent analytical thinking, problem-solving abilities, and clear scientific communication are key soft skills for success in collaborative research environments. These competencies are vital to drive innovation, rigorously evaluate federated learning approaches, and advance privacy-preserving AI technologies.

What are some common challenges faced when implementing federated learning in a research environment?

One of the primary challenges in research-focused federated learning roles is ensuring data privacy and security while maintaining model performance across distributed devices. Researchers must also address issues such as handling heterogeneous data sources, communication bottlenecks between nodes, and the complexity of debugging decentralized systems. Collaborating with cross-functional teams—such as data engineers, privacy experts, and domain specialists—is vital to overcome these hurdles and drive successful outcomes. Staying updated with the latest advancements and actively contributing to open-source initiatives can also help researchers address these evolving challenges.

What is the difference between Research Machine Learning Federated Learning vs Data Scientist?

AspectResearch Machine Learning Federated LearningData Scientist
CredentialsAdvanced degrees in CS, ML, or related fields; research experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academic institutions, tech companies focusing on privacy-preserving MLBusiness environments, analytics teams, data-driven departments
Industry UsageDeveloping federated algorithms, privacy-preserving ML modelsData analysis, modeling, reporting, and insights generation

Research Machine Learning Federated Learning specialists focus on developing privacy-preserving algorithms across distributed data sources, often in research or R&D settings. Data Scientists analyze and interpret data to inform business decisions. While both roles require strong ML knowledge, federated learning roles emphasize distributed systems and privacy, whereas Data Scientists focus on data analysis and visualization.

What job categories do people searching Research Machine Learning Federated Learning jobs in Menominee, MI look for?

The top searched job categories for Research Machine Learning Federated Learning jobs in Menominee, MI are:

What cities near Menominee, MI are hiring for Research Machine Learning Federated Learning jobs?

Cities near Menominee, MI with the most Research Machine Learning Federated Learning job openings:

Research Machine Learning Federated Learning jobs near you

Visiting Scientist - Weiner Lab

wistar

Institute, WI • On-site

Full-time

Posted 15 days ago

Job description

The Wistar Institute is seeking a talented and motivated scientist at the Visiting Scientist level in the laboratory of Dr. David Weiner, Professor, Director of the Vaccine and Immunotherapy Center. The goal of this postdoctoral research appointment is to focus on the development of new approaches to generate protective immunity or immune therapy tools against difficult infectious agents or for treatment of pathogenic cells including immunotherapy of specific cancers.

Candidates must have their PhD, or equivalent, or be close to obtaining their doctoral degree. We are particularly interested in candidates with a background in molecular / cellular immunology, molecular biology and/or cancer biology. Experience in relevant areas includes familiarity with machine learning tools for data analysis, Crispr-Cas approaches, nucleic acid biology, transcriptomics, 10x and single cell analysis, and humanized mouse models among others. Competitive applicants will have strong critical thinking, organizational and communication skills with a focus on growth and leadership.

The Wistar Institute is a world leader in early-stage discovery science in the areas of cancer, immunology, and infectious disease. Wistar is committed to accelerating research advances from bench to bedside through brilliant science and distinctive approaches to collaboration among scientific investigators and academic and industry partners. Wistar’s dynamic environment supports the advancement of discoveries that will change the future of human health.

The Wistar Institute is located in the University City area of Philadelphia, in the heart of the University of Pennsylvania Campus. Wistar provides resources to its faculty and staff that enable them to conduct cutting edge collaborative research and provides for outstanding intellectual environments and state-of-the-art facilities.

We offer a competitive salary and excellent benefits package.

For more information about The Wistar Institute visit our website at www.wistar.org. 

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